Paper trading lets users practice investment strategies without risking real money, and when powered with AI insights, it becomes a powerful learning and experimentation tool.
Trade Shala is an open-source AI-powered paper trading platform that helps developers and traders simulate market activity, analyze trends, and gain actionable insights — all in a risk-free sandbox environment. It combines market data workflows, AI-driven analysis, and intuitive interactions into a scalable platform.
📌 Key Features:
✅ Paper Trading System – Risk-free simulation of trades and strategies
✅ AI-Driven Market Insights & Analysis – Intelligent guidance on trends and data patterns
✅ Real-World Data Workflows – Integrated market feeds for realistic simulations
✅ Clean Architecture – Separation of logic, data, and UI for maintainability
✅ Educational & Practical – Learn trading behaviors and test ideas without financial risk
🛠 Technologies & Libraries Used:
💻 React – Frontend UI and interactive components
⚙️ Node.js & Express.js – Backend API and data handling
🗄 MongoDB – Database for storing trades and insights
🤖 AI Integration – Smart analysis and trading suggestions
📊 REST / WebSockets – Real-time data communication
🌟 Purpose of the Project:
Trade Shala helps users practice and refine trading strategies while learning from AI-powered insights and analyzing simulated market behavior — all without financial risk. It’s both a fintech learning tool and a strong developer portfolio showcase for AI + real-world data systems.
🔗 GitHub & Live Demo:https://reactjsguru.com/repos/appointment-system-full-stack-appointment-booking-app?utm_source=dev.to&utm_medium=social&utm_campaign=repo_post
💬 Would you add features like charting tools, backtesting modules, or strategy sharing next? Let’s discuss 👇🔥
Top comments (0)